Heat stress induces specific methylation, transcriptomic and metabolic pattern in dairy cows and their female progeny by Kathrin Halli, Tong Yin, Christian Koch, Stefan Krebs, Sven König

“…The present study provides extended insights into the complex genetic and physiological mechanisms of HS response in dam and calf groups from different generations, contributing to a deeper understanding of the interplay of prompt and time lagged HS effects between different omics-tiers.…”
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Constitutional risk factors for the development of glaucoma and cataracts in the Europioid population of Russia by V. I. Konenkov, A. V. Shevchenko, V. F. Prokofiev, A. N. Trunov, V. V. Chernykh

“…The frequency of their detection in POAG was high and characterized by the two-digit value of the odds ratio, high values of specificity (99–100%), and high diagnostic coefficient. …”
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NEW APPROACH TOWARDS THE INTEGRAL ASSESSMENT OF CARDIOVASCULAR STATUS IN PATIENTS WITH ARTERIAL HYPERTENSION by Yu. I. Gurfinkel, O. Yu. At’kov, M. L. Sasonko, R. M. Sarimov

“…Based on the assessment of a range of micro- and macrocirculationparameters in AH patients, the integral index of cardiovascular status had beendeveloped.This index satisfactorily reflects the dynamics of micro- and macrocirculation in treatedAH and, therefore, can be used as an indicator of effective antihypertensive therapy.The complex assessment of macro- and microcirculation provides an opportunityfor early AH detection.…”
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Multiscale Performance of Global Blended Satellite Precipitation Products Over Taiwan by Liping Wang, Haonan Chen, Zhe Li

“…Strong land–ocean interactions and complex terrain have been challenging the accuracy of satellite precipitation products (SPPs). …”
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Melanoma Skin Cancer Recognition with a Convolutional Neural Network and Feature Dimensions Reduction with Aquila Optimizer by Jalaleddin Mohamed, Necmi Serkan Tezel, Javad Rahebi, Raheleh Ghadami

“…Additionally, the AO reduced computational complexity by up to 37.5%. <b>Conclusions:</b> The deep learning-Aquila Optimizer (DL-AO) framework offers a highly efficient and accurate approach for melanoma detection, making it suitable for deployment in resource-constrained environments such as mobile and edge computing platforms. …”
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Network Security Situational Awareness Based on Improved Particle Swarm Algorithm and Bidirectional Long Short-Term Memory Modeling by Peng Zheng, Yun Cheng, Wei Zhu, Bo Liu, Shuhong Liu, Shijie Wang, Jinyin Bai

“…Additionally, the fitting coefficient attains a value of 0.92. This indicates a high level of recognition and precision exhibited by the proposed model in detecting network security risk behaviors. …”
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Enhanced Blade Fault Diagnosis Using Hybrid Deep Learning: A Comparative Analysis of Traditional Machine Learning and 1D Convolutional Transformer Architecture by Syed Asad Imam, Meng Hee Lim, Ahmed Mohammed Abdelrhman, Iftikhar Ahmad, Mohd Salman Leong

“…This enhanced performance was achieved with minimal human intervention and without complex signal processing. The Implementation of this approach within complex rotor systems offers a significant improvement in both the efficiency and reliability of blade FD.…”
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Construction and Completion of the Knowledge Graph for Cow Estrus with the Association Rule Mining by Zhiwei Cheng, Luyu Ding, Cheng Peng, Helong Yu, Baozhu Yang, Ligen Yu, Qifeng Li

“…Additionally, we employed an enhanced Iforest-OCSVM anomaly detection model to assess the performance of the association rules in detecting abnormal estrus. …”
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Histological assessment of inflammatory infiltrates in interstitial cystitis/bladder pain syndrome (IC/BPS): a comparative study of mast cell quantification techniques by Tunch Akmandor, Alex Freeman

“…Therefore, this retrospective study aimed to assess inflammatory cell infiltrate to better understand the role of inflammation to provide diagnostic value in histopathology reports for improved patient treatment and to compare histochemical and immunohistochemical stains for efficiency and sensitivity in detection and quantification of mast cells in detrusor muscle. …”
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Performing point-of-care molecular testing for SARS-CoV-2 with RNA extraction and isothermal amplification. by Pierre Garneret, Etienne Coz, Elian Martin, Jean-Claude Manuguerra, Elodie Brient-Litzler, Vincent Enouf, Daniel Felipe González Obando, Jean-Christophe Olivo-Marin, Fabrice Monti, Sylvie van der Werf, Jessica Vanhomwegen, Patrick Tabeling

“…It is an efficient process, but the complex engineering required for automated RNA extraction and temperature cycling makes it incompatible for use in point of care settings [1]. …”
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Multifunctional Hierarchical Metamaterials: Synergizing Visible-Laser-Infrared Camouflage with Thermal Management by Shenglan Wu, Hao Huang, Zhenyong Huang, Chunhui Tian, Lina Guo, Yong Liu, Shuang Liu

“…Furthermore, the RSHM demonstrates exceptional incident angle and polarization stability, maintaining robust performances even under complex detection conditions. This design is easy to expand relative to other frequency bands of the electromagnetic spectrum and holds significant potential for applications in military camouflage, energy-efficient buildings, and optical devices.…”
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End-to-end multiple object tracking in high-resolution optical sensors of drones with transformer models by Yubin Yuan, Yiquan Wu, Langyue Zhao, Yuqi Liu, Yaxuan Pang

“…This innovative method leverages self-attention mechanisms to capture complex inter-object relationships, seamlessly integrating object detection and tracking into a unified process. …”
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Comparison of Extraction Techniques for Wide Screening of 230 Pesticides in Water by Caterina Cacciatori, Jackie Myers, Giulio Mariani, Hung Vu, Bernd Manfred Gawlik, Vincent Pettigrove

“…The two extraction techniques were compared, among others, for their limits of detection, recovery, extraction, and quantification efficiency of pesticides, as well as spatial and temporal differences in detected compounds. …”
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PISCFF-LNet: A Method for Autonomous Flight of UAVs Based on Lightweight Road Extraction by Yuanxu Zhu, Tianze Zhang, Aiying Wu, Gang Shi

“…Currently, autonomous flight control for unmanned aerial vehicles (UAVs) has become increasingly critical in remote-sensing applications, such as high-resolution data acquisition and road disease detection. However, this task also faces significant challenges, particularly the weak GNSS signals in flight areas and the complex flight environment. …”
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Fungi in Horticultural Crops: Promotion, Pathogenicity and Monitoring by Quanzhi Wang, Yibing Han, Zhaoyi Yu, Siyuan Tian, Pengpeng Sun, Yixiao Shi, Chao Peng, Tingting Gu, Zhen Li

“…This review provides a comprehensive understanding of the complex roles of fungi in horticulture and explores innovative detection and management strategies.…”
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A high performance laser induced graphene (LIG) dual biosensor for simultaneous monitoring of glucose and lactate by Hassan Hamidi, Richard Murray, Vincenzo Vezzoni, Somayyeh Bozorgzadeh, Alan O'Riordan, Daniele Pontiroli, Mauro Riccò, Aidan J. Quinn, Daniela Iacopino

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Residual Energy-Based Strategies for the Transmission Probability and Duty-Cycle Selection in Wireless Sensor Networks by Carlos A. Guzmán-Medina, Mario E. Rivero-Angeles, Izlian Y. Orea-Flores

“…WSNs are complex systems that are mainly limited by the battery life of the nodes in order to have an adequate performance. …”
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Mechanism of modified mRNA structure in COVID-19 vaccines for inducing neutralizing antibodies by Sabighoh Zanjabila, Beti Ernawati Dewi

“…Structural modifications, such as replacing uridine with 1-methylpseudouridine (1mψ), enhance translation efficiency and help the mRNA evade immune detection. …”
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A Comprehensive Review of Smartphone and Other Device-Based Techniques for Road Surface Monitoring by Saif Alqaydi, Waleed Zeiada, Ahmed El Wakil, Ali Juma Alnaqbi, Abdelhalim Azam

“…Machine learning algorithms, particularly CNNs, are utilized to classify road anomalies, enhancing detection accuracy and system efficiency. The results demonstrate that smartphone-based systems, paired with advanced data processing and machine learning, significantly reduce the cost and complexity of traditional road surveys. …”
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Development of Green Method for Trace Determination of Bendiocarb in Real Samples Using Emerson by Baghdad Science Journal

“…The enrichment factor was of 59.87 fold leading to achieve the limit of detection of 0.076 ?g mL-1. The proposed method gives superior sensitivity in terms of the molar absorptivity of 1.99x105 L mol-1 cm-1 and extraction efficiency of 98.0%. …”
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